Learning Through Play
Researchers use their ACCESS allocation on DeltaAI to train AI agents more effectively by pitting them against each other in competition.
Machine Learning
Less is Sometimes More
Researchers at the University of Illinois use their ACCESS allocation to help prove that sometimes less data is better when training AI chatbots.
4/01/2026
Optimizing a Taxing Process
Researchers from the University of Nebraska-Omaha use ACCESS-allocated resources to capture a more nuanced understanding of the impact of taxation strategies.
1/14/2026
Finding the Missing Faster
Researchers at California Polytechnic State University, San Luis Obispo, are training AI on ACCESS-allocated resource Delta to assist in search and rescue efforts.
5/07/2025
Using AI for Stronger Infrastructure
Researchers at the University of Illinois use ACCESS-allocated resources to automate the detection of corrosion in large infrastructures, such as bridges and water systems.
3/04/2025
Using AI to Predict Movie Reviews
Over the summer, ACCESS Support hosted a mini hackathon at PEARC24. Three winners were given the task of predicting how users would rate movies on IMDb.
10/15/2024
Knowing Your News
Students at City University of New York use Purdue’s supercomputer, Anvil, to train AI how to detect propaganda and opinion in the daily news.
10/08/2024
Anvil’s Newest Resource Now Online
Purdue’s Rosen Center for Advanced Computing has recently announced its new AI chat resource, AnvilGPT.
9/19/2024
A Better Use of AI for Images
Kentucky and Missouri team use ACCESS resources to protect medical images from hacks.
8/07/2024
Explore ACCESS Allocation Utilized by Deep-Learning Class at Illinois Wesleyan
A professor uses an ACCESS allocation to prepare computer science students for a future working with HPC.
4/23/2024